Progress Rate in Noisy Genetic Programming for Choosing $\lambda$

{Recently, it has been proposed to use Bernstein races for implementing non-regression testing in noisy genetic programming. We study the population size of such a (1+$\lambda$) evolutionary algorithm applied to a noisy fitness function optimization by a progress rate analysis and experiment it on a policy search application.}